class_docstr: A type-safe wrapper for a list of quantile forecasts, stored as NumPy
  arrays.
class_docstr_tok: ["A","type-safe","wrapper","for","a","list","of","quantile","forecasts",",","stored","as","NumPy","arrays","."]
docstr: Returns the seasonality of the forecasts (i.e. how many steps to go
  back to arrive at the value of the previous period).
docstr_tok: ["Returns","the","seasonality","of","the","forecasts","(","i.e",".","how","many","steps","to","go","back","to","arrive","at","the","value","of","the","previous","period",")","."]
code: def seasonality(self) -> int:
      """
      Returns the seasonality of the forecasts (i.e. how many steps to go
      back to arrive at the value of the previous period).
      """
      return get_seasonality(self.freq.freqstr)
  
file_path: gluonts/src/gluonts/nursery/tsbench/src/tsbench/forecasts/quantile.py
imports: from __future__ import annotations
  from dataclasses import dataclass
  from pathlib import Path
  from typing import List
  import numpy
  import numpy.typing
  import pandas
  from gluonts.model.forecast import QuantileForecast
  from gluonts.time_feature import get_seasonality
label_desc: Use image node_id 2 for calling the QuantileForecasts obj's underlying member method code with example usage: obj.seasonality() and returns: get_seasonality